Correlation analysis of structural parameters and dynamic responses of offshore floating wind turbine platforms using grey relational theory
Peiyu Chen, Shijie Qiu, Zhenqing Liu
Abstract
As offshore wind energy development extends into deeper waters, the design of floating wind turbine platforms becomes increasingly critical. This study examines the heave, surge, and pitch responses of 12 distinct floating wind turbine platform-mooring systems under an identical operating condition. The analysis evaluates the response amplitudes, means, and variances in both the time and frequency domains. The results demonstrate substantial differences in the motion characteristics of platforms with varying structural configurations and parameters under the same conditions. Using grey relational analysis, the study explores the correlations between platform structural parameters and their motion responses. The findings indicate that among all platform parameters, the waterplane area has the greatest influence on the mean and variance of heave motion responses and the variance of pitch motion response, with correlation coefficients of 0.714, 0.741, and 0.738, respectively. The center of buoyancy height is the most significant factor influencing the mean responses of pitch and surge motions, with correlation coefficients of 0.802 and 0.674, respectively. The submerged volume is identified as the key parameter affecting the variance of surge motion, with a correlation coefficient of 0.720. These insights offer a valuable reference for the design of floating wind turbine platforms in deep offshore environments. • Dynamic simulations reveal design-driven variations in heave, surge, and pitch of 12 floating wind turbine platforms. • Grey relational analysis finds waterline area, submerged volume, and buoyancy center height key to platform stability. • The study provides actionable insights for optimizing platform stability and cost-efficiency in offshore environments.